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Updated: Oct 26, 2025

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A High-Throughput Platform for Culture and 3D Imaging of Organoids
Published on: October 14, 2022
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Microfabricated disk technology: Rapid scale up in midbrain organoid generation
Nguyen-Vi Mohamed1, Paula Lépine1, María Lacalle-Aurioles1
1Early Drug Discovery Unit (EDDU), Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Quebec H3A 2B4, Canada.
Methods (San Diego, Calif.)
|July 27, 2021
Summary
Researchers developed a scalable method using microfabricated disks to generate human midbrain organoids (hMOs). This technique reduces labor and variability, enabling more efficient Parkinson's disease (PD) research in vitro.
Area of Science:
- Neuroscience
- Stem Cell Biology
- Biotechnology
Background:
- 3D neuronal organoids from human induced pluripotent stem cells (iPSCs) model the substantia nigra.
- Conventional methods for generating human midbrain organoids (hMOs) are labor-intensive and have moderate throughput.
- Long-term culture methods for brain organoids require significant maintenance and time.
Purpose of the Study:
- To develop a scalable method for generating human midbrain organoids (hMOs).
- To minimize labor, reduce batch-to-batch variation, and maintain viability in hMO cultures.
- To facilitate Parkinson's disease (PD) modeling using hMOs.
Main Methods:
- Utilized microfabricated disks for scaled-up generation of hMOs.
- Employed a three-dimensional in vitro culture system.
- Focused on optimizing generation and maintenance of hMOs.
Main Results:
- Successfully scaled up hMO generation using microfabricated disks.
- Demonstrated reduced labor requirements compared to conventional methods.
- Maintained hMO viability over time with decreased variability.
Conclusions:
- The microdisk method offers a scalable and efficient approach for hMO production.
- This advancement supports increased throughput for Parkinson's disease research.
- The developed method holds potential for broader applications in neurological disease modeling.

